基于DCPSO算法的微网系统优化调度

Optimized Scheduling of Microgrid System Based on DCPSO Algorithm

基于传统粒子群算法(PSO)的微网调度模型存在收敛速度慢、精度低、初始化不均匀等问题。以综合运行、环境成本和大电网交易成本为优化目标,提出一种改进的基于双种群混沌的粒子群算法(DCPSO)微网优化调度模型。对比改进前后两种算法的优化结果可知,改进后的算法提升了系统优化精度和收敛速度,系统运行成本降低8.43%,优化速度提升44.54%,证实了改进算法的有效性和实用性。

In view of the environmental and economic impacts caused by the connection of each distributed power source to the distri⁃bution network,a micro-grid optimization dispatching model is established with the optimization objectives of comprehensive opera⁃tion,environmental cost and large grid transaction cost.An improved particle swarm optimization(DCPSO)algorithm based on twopopulation chaos is proposed to solve the problems of slow convergence,low accuracy and uneven initialization in traditional PSO mi⁃crogrids.By comparing the optimization results of the two improved algorithms,the improved algorithm improves the optimization accu⁃racy and convergence speed of the system.The operating cost of the system is reduced by 8.43%,while the optimization speed is in⁃creased by 44.54%,which proves the effectiveness and practicability of the proposed scheme and the improved algorithm.